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20112026
most citedNetKet: A Machine Learning Toolkit for Many-Body Quantum Systems

121 citations · 196 across the 10 of their papers we have counts for

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quant-ph2026

Stoquastic permutationally invariant Bell operators

Jan Li, Owidiusz Makuta, Evert van Nieuwenburg +1

As Hermitian operators, many-body Bell operators can naturally be identified as many-body Hamiltonians. An important subclass of such Hamiltonians is the stoquastic class, characte…

quant-ph2025★ 2 cited

Quantum computing and artificial intelligence: status and perspectives

Giovanni Acampora, Andris Ambainis, Natalia Ares +36

This white paper discusses and explores the various points of intersection between quantum computing and artificial intelligence (AI). It describes how quantum computing could supp…

quant-ph2021★ 4 cited

A NEAT Quantum Error Decoder

Hugo Théveniaut, Evert van Nieuwenburg

We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolari…

quant-ph2019★ 121 cited

NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems

Giuseppe Carleo, Kenny Choo, Damian Hofmann +15

We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…

quant-ph2018★ 15 cited

Entanglement spectrum of mixed states

Evert van Nieuwenburg, Oded Zilberberg

Entanglement plays an important role in our ability to understand, simulate, and harness quantum many-body phenomena. In this work, we investigate the entanglement spectrum for ope…